GIS, Remote Sensing, Spatial Urban Growth, Nairobi Metropolitan Region, Sustainable Development

Total Page:16

File Type:pdf, Size:1020Kb

GIS, Remote Sensing, Spatial Urban Growth, Nairobi Metropolitan Region, Sustainable Development American Journal of Geographic Information System 2017, 6(2): 64-82 DOI: 10.5923/j.ajgis.20170602.03 Spatial Monitoring of Urban Growth Using GIS and Remote Sensing: A Case Study of Nairobi Metropolitan Area, Kenya Monica Machuma Katyambo*, Moses Murimi Ngigi Institute of Geomatics, GIS and Remote Sensing, Dedan Kimathi University of Technology, Nyeri, Kenya Abstract Nairobi city expanded spatially leading to the formation of the 32,514 km2 Nairobi Metropolitan Area. The region faces rapid urbanization challenges and lacks reliable data for urban planning. This study is aimed at monitoring the urban land cover using GIS and Remote Sensing techniques. Three different land cover maps produced at ten year epochs between 1995 and 2015 were used to evaluate and analyse urban growth visually and quantitatively. Spatial metrics indices and the Annual Urban Spatial Expansion Index were employed in the quantitative analyses. Urban land cover increased from 408.99 km2 to 763.79 km2 and to 2,187.82 km2 with annual growth rates of 8.4% and 17.2% in the two study period epochs. The areas had annual spatial expansion indices of 4.58% and 6.32% respectively in the periods 1995- 2000 and 2000-2015. Radial-axial expansion of built-up areas along transport routes led to the expansion of urban areas into agricultural and forest land. The region’s spatial plan forecasted an urban land cover of 1,717.72km2 by the year 2030, yet by the year 2015, the urban area was 2,187.82 km2. These growth characteristics will have an effect on the location of the proposed Cyber city, Knowledge-cum-Health city and the Aerotropolis, as proposed in the spatial planning concept of the NMR. The spatial analysis of the NMR growth trends could support in the urban growth management mechanisms and plans for sustainable development. Keywords GIS, Remote Sensing, Spatial urban growth, Nairobi Metropolitan Region, Sustainable development and social development program, proposed flagship projects 1. Introduction to spur development across the country, one being the creation of six metropolitan areas covering the main cities. Urbanization is the process by which large numbers of The NMR project was the first be set up with a vision to grow people become permanently concentrated in relatively small and develop into a world class African metropolis capable of areas. It is induced by physical geography, living and creating sustainable wealth and offer a high quality of life to property costs, demand for more living space transportation, its residents, the people of Kenya and investors by the year and lack of proper planning policies [2]. The world is rapidly 2030 [7]. It was earmarked for rapid economic development urbanizing and cities are experiencing the dynamic processes since it plays an important role locally in the Kenyan of urbanization and globalization [8]. A large percentage of economy, regionally, as well as globally. the world’s population reside in metropolitan areas of Urban growth, being a land use/cover change phenomena developing countries [18] thereby raising a need of urban from a non-urban category to an urban category [3] is a planning. Kenya being one of Africa’s fastest urbanizing dynamic and complex phenomenon revealing economic countries had 215 urban centers in the year 2009 with development. Spatial temporal urban growth indicates the Nairobi as the capital city [10]. Twenty four (24) of these spatial and temporal dimensions of land cover/ use change at urban centers are located within the Nairobi Metropolitan the level of the urban landscape [5]. Urban land covers a Region (NMR). smaller area compared to other land covers but its impact to Previous land use/cover studies revealed that there was the surrounding environment is higher. It alters the land use unsustainable sprawl of Nairobi city [12]. It is estimated that pattern, land values and the intensity of site use [15]. Urban by the year 2030, 61.5% of the urban population will live growth combined with urban sprawl, inadequate within the NMR [13]. The Kenya Vision 2030, an economic infrastructure and land use planning have posed a challenge in the Nairobi Metropolitan Region-NMR [8]. * Corresponding author: [email protected] (Monica Machuma Katyambo) Urban growth generates a lot of problems and challenges Published online at http://journal.sapub.org/ajgis economically, socially and environmentally [13]. It has both Copyright © 2017 Scientific & Academic Publishing. All Rights Reserved negative and positive effects on the ecological and social American Journal of Geographic Information System 2017, 6(2): 64-82 65 systems. Urbanization when ignored may intimidate caused by infill and by the vertical dimension of space was sustainable development. [6]. Urban expansion in the NMR not considered in assessing urban growth with regard to has induced significant socio-economic, environmental and settlement expansion. health challenges [4] raising a need of urban planning. This study answers questions such as where did urban Urban development is a large resource consumant that growth occur in the NMR between 1995 and 2005?; at what calls for proper planning and monitoring [10]. Lack of rate and how much land was converted to urban land cover information about urban spatial growth taking place in within the study period?; and which urban growth theory different parts of the metropolitan region has limited the explains the expansion. These questions were answered process of urban and regional planning and development with the aid of spatial metrics(total area-TA, class area-CA, management [8]. Urbanization in the NMR has led to high number of patches-NP, patch density-PD, largest patch-LP, land prices, low forest cover, and encroachment on largest patch index-LPI, mean patch size-MPS), urban conservation areas such as the Athi and Tana River growth indicators (annual urban spatial expansion catchments [9]. index-AUSEI) and through visual interpretation of the The Ministry of Nairobi Metropolitan Development resultant urban land cover maps. Spatial metrics are (MoNMeD) developed a spatial plan to determine how the numerical indices to describe structure and patterns of a NMR was to develop. The plan was to guide and coordinate landscape [14]. They quantify and describe the underlying development of infrastructural facilities and services and for structure and patterns of urban landscape from geospatial the specific control of the use and development of land [10]. data [16]. It proposed spatial modelling for the NMR through six new The study will enable spatial planners to determine the towns as new growth centres in the national economy as possibility to implement proposed development programs as well as to accommodate new activities meant to decongest it is possible to identify the available and lost land cover as Nairobi city [7]. The selection of the proposed new towns a result of new urban development. With this information, locations were based on accessibility from the road network, urban growth management mechanisms such as urban topography, availability of low productivity agricultural growth boundaries and delineation of land uses can be land, low interference with ecologically sensitive and implemented. conservation areas, and good potential for landscaping. This left out the crucial urbanization factor. Spatial planning requires information on the existing 2. Materials and Methods land-use/land-cover pattern, its spatial distribution and changes [17]. Urbanization determines the implementation To acquire the information needed in monitoring spatial of spatial planning proposals and of course has an impact on urban growth in the NMR, GIS and Remote Sensing sustainability of urban ecosystems. For the comprehensive technologies were used. land-use planning of urban areas, current and accurate land 2.1. The Study Area use information is vital for spatial planning and management [11]. Monitoring urban growth in the NMR is necessary for This study focuses on the Nairobi metropolitan region implementing appropriate strategies regarding the urban (NMR) comprising of four (4) out of the forty seven (47) planning decision making process and in redrawing urban counties in Kenya namely: Nairobi, Kiambu, Machakos, policies in the NMR. and Kajiado (Figure 1). The area is a highly urbanizing The main objective of this study was to monitor growth region with 24 urban centres. Nairobi city being the most in the urban land cover by analyzing the spatial-temporal dominant is the core of the metropolis. The region extends urban land use/cover changes that occurred in the region over an area of approximately 32514km2 that substantially before and after the creation of the Nairobi Metropolitan depend on Nairobi city for employment and social facilities. Area using GIS and remote sensing techniques. Landsat The NMR is strategically located as a central gateway to images were characterised, mapped and quantified to reveal the East and Central African region as well as its changes in the built-up land cover from which changes in positioning on the Northern corridor and the Cape to Cairo growth and pattern were evaluated and analysed. highway. International trunk roads A104, A109 pass The study focuses on the expansion of urban areas as sign through the area enabling movement of traffic to/from of economic development. Remote sensing and GIS Mombasa to neighbouring landlocked countries of Uganda, technologies are used since they are a proper and effective Rwanda, South Sudan and Ethiopia. These characteristics tool to understand and present the phenomenon. Mapping present significant strengths for the region as it provides unplanned urban expansion provides a “picture” of where useful access points to various markets in Africa and this type of growth is occurring; its negative effects and particularly for the Indian Ocean islands and South Asia. suggests mitigation measures [17]. Accurate mapping of The Metro Vision 2030 divided the NMR into urban lands and monitoring urban expansions are significant foursub-regions: Core Nairobi (Nairobi county), the for optimum urban analysis in urban planning of Northern Metro (Kiambu county), the Eastern Metro metropolitan regions [1].
Recommended publications
  • Nairobi County
    Nairobi County Nairobi County at a glance Nairobi is the Capital City of Kenya and borders Kiambu County to the north west, north and north east, Machakos to the east and south east, Kajiado to the south, south west and west Area: 695 km² Population: 3,138,369 (Male - 51%, Female - 49%) Accountability and Governance The Constitution of Kenya (2010) has provided the opportunity for resources to be transferred to a new level of government at the grassroots. While devolution has created a new reform space for more responsive, equitable, efficient and accountable local service delivery, converting this into actual transformation at the grassroots will depend on the quality of county institutions charged with this responsibility. Since devolution entails the simultaneous transfer of power and resources to an entire new level of government, counties face unique challenges that demand innovative solutions. The EU is therefore working with the Government of Kenya to promote transparency and accountability in the management of county public finances. Sound economic and political governance will allow the residents of all counties to reap the benefits that devolution promises to bring to the people. Sustainable Infrastructure The EU together with its development partners, has committed to continue supporting Kenya in its infrastructure projects with a focus on energy, transport, water and sanitation and housing. This is in line with Vision 2030 (MTPII) and the government’s Big Four agenda. The EU is also supporting the country towards the modernisation its energy infrastructure with a special focus on development of renewable, affordable and reliable energy sources. This support is also targeting access to energy in rural areas in Kenya in order to increase the economic and social development of communities, households, and to spur the creation and growth of energy-based and reliant small enterprises.
    [Show full text]
  • Nairobi-Thika-Transp
    FOREWORD I am pleased to introduce this 10-plan year which is a road map on how the Nairobi - Thika Superhighway Transport Corridor (NTTC) is geared to develop. This is the first comprehensive spatial plan covering the NTTC, which is within Ruiru and Juja Sub-Counties and it has been prepared at a time when Kiambu County is grappling with the challenges of tackling rapid urbanisation. I am happy to note that, this plan has been prepared in a participatory manner taking into account the contributions of various stakeholders whose role in the implementation of the proposals is fundamental. Kiambu is the third most urbanised County after Nairobi and Mombasa and has witnessed rapid urbanisation in the few decades with people moving into the County to settle, set business, and undertake other development activities. The NTTC has witnessed rapid urbanisation coupled with high population growth and economic activities in the last ten years since the onset of devolved government and the upgrading of the Nairobi-Thika Highway thus changing the corridor’s character. Due to this rapid growth as a County, we are expected to commit more investments to cope with this expansion. More people need to be accommodated in a suitable environment with ease of movement, adequate physical and social infrastructure and employment opportunities. However, most of this urbanisation is happening with little or no planning intervention as characterised by piecemeal subdivision and land-use conversions. Due to the absence of planning tools like the Plan to guide and manage this rapid urbanisation, the current development in these areas is suffering from uncoordinated growth, land use conflict, inadequate basic infrastructure facilities and services, poor housing, and inefficient public transportation system, amongst other challenges.
    [Show full text]
  • Toxic Site Identification Program in Kenya
    Toxic Site Identification Program in Kenya Award: DCI-ENV/2015/371157 Prepared by: Judith St. Fort Prepared for: UNIDO Date: October 2018 Pure Earth 475 Riverside Drive, Suite 860 New York, NY, USA +1 212 647 8330 www.pureearth.org TABLE OF CONTENTS LIST OF ACRONYMS ...............................................................................................................................I LIST OF ANNEXES...................................................................................................................................I ACKNOWLEDGEMENTS ....................................................................................................................... 1 EXECUTIVE SUMMARY ........................................................................................................................ 1 BACKGROUND ...................................................................................................................................... 2 TOXIC SITE IDENTIFICATION PROGRAM (TSIP) ............................................................................... 3 TSIP TRAINING .............................................................................................................................. 3 IMPLEMENTATION STRATEGY/COORDINATION WITH THE GOVERNMENT ................................ 3 PROGRAM IMPLEMENTATION ACTIVITIES ............................................................................... 4 SUMMARY OF SITES ASSESSED .......................................................................................................
    [Show full text]
  • The Impact of Measures to Curb COVID-19 on Patient Attendance At
    Electronic supplementary material: The online version of this article contains supplementary material. © 2021 The Author(s) Cite as: Gitau T, Kamita M, Muli E, Mweni S, Waithanji R, Mutisya F, Kirira P, Nzioka JoGH © 2021 ISoGH A, Figueroa J, Makokha F. The impact of measures to curb COVID-19 on patient attendance at 10 hospitals in Machakos County, Kenya. J Glob Health 2021;11:05016. The impact of measures to curb COVID-19 on patient attendance at 10 RESEARCH THEME 1: VIEWPOINTS COVID-19 PANDEMIC hospitals in Machakos County, Kenya 1 Tabither Gitau *, Background The COVID-19 pandemic has resulted in both direct and indirect impacts Moses Kamita1*, on patients and population health. To better understand the impact of the measures put Elizabeth Muli2, in place by the Kenyan government on health care provision, this project sought to doc- Sharon Mweni3, ument and quantify the impact of the restriction measures on patients’ attendance in Rebeccah Waithanji1, Machakos County. Faith Mutisya3, Methods Hospital attendance at 10 public hospitals were obtained including Machakos Peter Kirira1, Level 5 Hospital (the county referral facility) and one health facility from each of the 9 3 Sub-counties of Machakos County. Data on outpatient and inpatient attendance from No- Ancent Nzioka , vember 2019 to May 2020 were obtained and compared with a similar calendar period Jonine Figueroa4*, from the previous year. Key informant interviews (KIIs), focused group discussions (FGDs) Francis Makokha1* and in-depth interviews were conducted with the hospital management personnel (n = 46), as well as with the patients (n = 453) who missed scheduled clinic appointments at Mach- 1Mount Kenya University, akos Level 5 Hospital to understand the reasons behind the drop in attendance numbers.
    [Show full text]
  • Transition and Reform People’S Peacemaking Perspectives on Kenya’S Post-2008 Political Crisis and Lessons for the Future
    REPORT Transition and reform People’s Peacemaking Perspectives on Kenya’s post-2008 political crisis and lessons for the future James Ndung’u and Manasseh Wepundi March 2012 SUDAN Turkana ETHIOPIA Lake Turkana Mandera Marsabit a UGANDA Wajir West Pokot Samburu Isiolo Trans Elgeyo SOMALIA Nzoiaa Marakwet Baringo Bungoma d Uasihin Gishud Busia Kakamega Laikipia Nandi Meru Siaya Vihiga Kisumu d Nyandarua L. Victoria d Tharaka Kerichod d Garissa Nakuru Homa Kirinyaga Bay Nyamira d Embu Kisii Bomet Muranga Migoria d Narok Nairobi d Machakos Kitui Tana River Kajiado Makueni Lamu ³ TANZANIA Kilifi Legend Taita d Hotspots Taveta Indian Ocean a Potential hotspots Mombasa International boundary Kwale a County boundary Shoreline SCALE: 1:4,500,000 Ocean/lakes 075 150 300 Km Prepared by Kenya National Bureau of Statistics_GIS Unit-2009 Census This map is not an authority on delineation of boundaries Transition and reform People’s Peacemaking Perspectives on Kenya’s post-2008 political crisis and lessons for the future James Ndung’u and Manasseh Wepundi SAFERWORLD MARCH 2012 Acknowledgements This report was written by James Ndung’u and Manasseh Wepundi. We wish to thank a number of interviewees and focus group participants for their views and feedback. They include staff from Konrad Adeneur Stiftung, Africa Centre for Open Governance, Movement for Political Accountability, Peace and Development Network Kenya and community representatives from Western, Eastern, Rift Valley, Nyanza, Nairobi, Coast, North Eastern and Central Provinces who participated in focus group discussions. Thanks also go to Bonita Ayuko of Saferworld for organising focus groups and consultative forums in the provinces.
    [Show full text]
  • County Name County Code Location
    COUNTY NAME COUNTY CODE LOCATION MOMBASA COUNTY 001 BANDARI COLLEGE KWALE COUNTY 002 KENYA SCHOOL OF GOVERNMENT MATUGA KILIFI COUNTY 003 PWANI UNIVERSITY TANA RIVER COUNTY 004 MAU MAU MEMORIAL HIGH SCHOOL LAMU COUNTY 005 LAMU FORT HALL TAITA TAVETA 006 TAITA ACADEMY GARISSA COUNTY 007 KENYA NATIONAL LIBRARY WAJIR COUNTY 008 RED CROSS HALL MANDERA COUNTY 009 MANDERA ARIDLANDS MARSABIT COUNTY 010 ST. STEPHENS TRAINING CENTRE ISIOLO COUNTY 011 CATHOLIC MISSION HALL, ISIOLO MERU COUNTY 012 MERU SCHOOL THARAKA-NITHI 013 CHIAKARIGA GIRLS HIGH SCHOOL EMBU COUNTY 014 KANGARU GIRLS HIGH SCHOOL KITUI COUNTY 015 MULTIPURPOSE HALL KITUI MACHAKOS COUNTY 016 MACHAKOS TEACHERS TRAINING COLLEGE MAKUENI COUNTY 017 WOTE TECHNICAL TRAINING INSTITUTE NYANDARUA COUNTY 018 ACK CHURCH HALL, OL KALAU TOWN NYERI COUNTY 019 NYERI PRIMARY SCHOOL KIRINYAGA COUNTY 020 ST.MICHAEL GIRLS BOARDING MURANGA COUNTY 021 MURANG'A UNIVERSITY COLLEGE KIAMBU COUNTY 022 KIAMBU INSTITUTE OF SCIENCE & TECHNOLOGY TURKANA COUNTY 023 LODWAR YOUTH POLYTECHNIC WEST POKOT COUNTY 024 MTELO HALL KAPENGURIA SAMBURU COUNTY 025 ALLAMANO HALL PASTORAL CENTRE, MARALAL TRANSZOIA COUNTY 026 KITALE MUSEUM UASIN GISHU 027 ELDORET POLYTECHNIC ELGEYO MARAKWET 028 IEBC CONSTITUENCY OFFICE - ITEN NANDI COUNTY 029 KAPSABET BOYS HIGH SCHOOL BARINGO COUNTY 030 KENYA SCHOOL OF GOVERNMENT, KABARNET LAIKIPIA COUNTY 031 NANYUKI HIGH SCHOOL NAKURU COUNTY 032 NAKURU HIGH SCHOOL NAROK COUNTY 033 MAASAI MARA UNIVERSITY KAJIADO COUNTY 034 MASAI TECHNICAL TRAINING INSTITUTE KERICHO COUNTY 035 KERICHO TEA SEC. SCHOOL
    [Show full text]
  • Kenya: Nutrition Profile
    Kenya: Nutrition Profile Malnutrition in childhood and pregnancy has many adverse consequences for child survival and long-term well-being. It also has far-reaching consequences for human capital, economic productivity, and national development overall. The consequences of malnutrition should be a significant concern for policymakers in Kenya, where out of a total under-5 population of 7 million, 1.82 million children (26 percent) are suffering from chronic malnutrition (stunting or low height-for-age) (Kenya National Bureau of Statistics (KNBS) et al. 2015). In addition, although malnutrition indicators are improving, it is estimated that from 2010–2030 undernutrition will cost Kenya approximately US$38.3 billion in GDP due to losses in workforce productivity (USAID 2017a). Background Kenya’s economy grew rose by an estimated 5.8 percent in 2016, making Kenya one of the fastest-growing economies in Sub-Saharan Africa (World Bank 2017). This growth was supported by a stable macroeconomic environment, low oil prices, a rebound in tourism, strong remittance practices, and government-led infrastructure development. However, political turmoil during the presidential elections in 2017, in which at least 55 Kenyans died, may slow growth (World Bank 2017; USAID 2017b). Agriculture is the backbone of the economy and central to the government’s development strategy, employing more than 75 percent of the workforce and accounting for more than a fourth of the country’s gross domestic product (USAID 2017a). However, agricultural productivity has been stagnating in recent years due to frequent droughts, floods, and climate change; only about 20 percent of Kenyan land is suitable for farming.
    [Show full text]
  • County Integrated Development Plan (Cidp) 2018-2022
    COUNTY INTEGRATED DEVELOPMENT PLAN (CIDP) 2018-2022 WORKING DRAFT NOVEMBER, 2017 Nairobi County Integrated Development Plan, 2018 Page ii COUNTY VISION AND MISSION VISION “The city of choice to Invest, Work and live in” MISSION To provide affordable, accessible and sustainable quality service, enhancing community participation and creating a secure climate for political, social and economic development through the commitment of a motivated and dedicated team. Nairobi County Integrated Development Plan, 2018 Page iii Nairobi County Integrated Development Plan, 2018 Page iv FOREWORD Nairobi County Integrated Development Plan, 2018 Page v Nairobi County Integrated Development Plan, 2018 Page vi TABLE OF CONTENTS COUNTY VISION AND MISSION ............................................................................................. iii FOREWORD .................................................................................................................................. v LIST OF TABLES ....................................................................................................................... xiii LIST OF MAPS/FIGURES ......................................................................................................... xiii LIST OF PLATES ......................................................................... Error! Bookmark not defined. ABBREVIATIONS AND ACRONYMS .................................................................................... xiv GLOSSARY OF COMMONLY USED TERMS .....................................................................
    [Show full text]
  • Urban Refugee Programme Operational Update
    MONTHLY OPERATIONAL UPDATE Urban Refugee Programme, Kenya 1 - 30 November 2019 7 8,299 11,210 2,218 Refugees and asylums seekers New arrival refugees and asylum Individuals in urban areas registered in urban areas as at seekers registered since January assisted to return to their home 31 October 2019 2019. countries since 2014. KEY INDICATORS FUNDING (AS OF 09 DECEMBER 2019) 1,200 USD 170M individuals submitted for resettlement in 2019. requested for the Somali and South Sudan situation Funded 38% 53% Of asylums seekers and refugees registered in urban area 96.44M are from Democratic Republic of Congo Unfunded 43% 65 73.52 M Number of refugees assisted to voluntarily return to their countries of origin in 2019. POPULATION OF CONCERN Host Countries 30, 470 20,075 10,995 8,198 Gaston Nsazumukiza (second right), a 27 year old refugee 3,820 Taekwondo athlete stands tall with his bronze medal alongside 4,741 other Taekwondo champions from Southern Africa region at the 4th 78,299 Botswana Presidents Cup on 16 November © UNHCR/C.Opile t www.unhcr.org 1 OPERATIONAL UPDATE NAIROBI, KENYA / 30 September 2019 HIGHLIGHTS ▪ UNHCR conducted a joint mission with the Ethiopian Embassy to Kakuma Refugee camp. The delegation met with Ethiopian refugees who have expressed interest in voluntary repatriation. Plans are underway to facilitate repatriation of 85 Ethiopians from Kakuma camp. ▪ UNHCR in partnership with the National Gay and Lesbian Human Rights Commission (NGLHRC) and the Kenya Human Rights Commission (KHRC) conducted a two-day training for magistrates and judges from the Coastal region.
    [Show full text]
  • Figure1: the Map of Kenya Showing 47 Counties (Colored) and 295 Sub-Counties (Numbered)
    BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Global Health Additional file 1: The county and sub counties of Kenya Figure1: The map of Kenya showing 47 counties (colored) and 295 sub-counties (numbered). The extents of major lakes and the Indian Ocean are shown in light blue. The names of the counties and sub- counties corresponding to the shown numbers below the maps. List of Counties (bold) and their respective sub county (numbered) as presented in Figure 1 1. Baringo county: Baringo Central [1], Baringo North [2], Baringo South [3], Eldama Ravine [4], Mogotio [5], Tiaty [6] 2. Bomet county: Bomet Central [7], Bomet East [8], Chepalungu [9], Konoin [10], Sotik [11] 3. Bungoma county: Bumula [12], Kabuchai [13], Kanduyi [14], Kimilili [15], Mt Elgon [16], Sirisia [17], Tongaren [18], Webuye East [19], Webuye West [20] 4. Busia county: Budalangi [21], Butula [22], Funyula [23], Matayos [24], Nambale [25], Teso North [26], Teso South [27] 5. Elgeyo Marakwet county: Keiyo North [28], Keiyo South [29], Marakwet East [30], Marakwet West [31] 6. Embu county: Manyatta [32], Mbeere North [33], Mbeere South [34], Runyenjes [35] Macharia PM, et al. BMJ Global Health 2020; 5:e003014. doi: 10.1136/bmjgh-2020-003014 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Global Health 7. Garissa: Balambala [36], Dadaab [37], Dujis [38], Fafi [39], Ijara [40], Lagdera [41] 8.
    [Show full text]
  • The Nature, Challenges and Consequences of Urban Youth Unemployment: a Case of Nairobi City, Kenya
    Universal Journal of Educational Research 2(7): 495-503, 2014 http://www.hrpub.org DOI: 10.13189/ujer.2014.020701 The Nature, Challenges and Consequences of Urban Youth Unemployment: A Case of Nairobi City, Kenya Bernard Munyao Muiya Department of Sociology, Kenyatta University, Kenya *Corresponding Author: [email protected] Copyright © 2014 Horizon Research Publishing All rights reserved. Abstract Globally, decline in employment has affected issue in society. The International Labour Organization [26] the youth more compared to other cohorts with youth in estimates that the percentage of young women and men who developing countries being particularly hard hit. There have are unemployed throughout the world represents roughly been various interventions by the Kenyan government to two-fifths of all unemployed persons [26]. In general, young address the challenge of youth employment through human people are two to three times more likely than adults to be capital development like the Youth Enterprise Development unemployed. Fund (YEFD). Despite this, youth unemployment still A 2010 study by the ILO indicates that the share of youth remains a big problem making youth vulnerable to crime and who are employed in the youth population saw a decrease social unrest. This paper investigated the nature, challenges from 47.9 to 44.7 per cent between 1998 and 2008 [26, 37]. and consequences of urban youth unemployment in Nairobi, This kind of a scenario does not portend well for global Kenya. The results of this paper were obtained through a economies and therefore stringent measures should be put in survey done in Mathare informal settlement July 2013.
    [Show full text]
  • Understanding the Socioeconomic Conditions of the Stateless Shona Community in Kenya Results from the 2019 Socioeconomic Survey
    Understanding the Socioeconomic Conditions of the Stateless Shona Community in Kenya Results from the 2019 Socioeconomic Survey 2020 10183_Shona_CVR.indd 3 12/14/20 11:20 AM Understanding the Socioeconomic Conditions of the Stateless Shona Community in Kenya Results from the 2019 Socioeconomic Survey 10183_Shona Report.indd 1 2/8/21 1:15 PM Cover photo: © Rose Ogola, UNHCR. 10183_Shona Report.indd 2 2/8/21 1:15 PM Table of Contents ACKNOWLEDGMENTS . vi LIST OF ABBREVIATIONS . vii FOREWORDS . viii EXECUTIVE SUMMARY . x BACKGROUND AND OBJECTIVES . 1 I. Statelessness in Kenya ............................................................... 2 FINDINGS . 7 I. Consumption and Poverty ............................................................ 7 II. Demographic Profile . 8 III. Access to Basic Services ............................................................. 11 i. Housing.......................................................................... 11 ii. Water and sanitation .............................................................. 15 iii. Energy........................................................................... 17 iv. Education ........................................................................ 18 IV. Employment and Livelihoods ......................................................... 24 V. County Trends ...................................................................... 29 CONCLUSIONS AND RECOMMENDATIONS . 30 BIBLIOGRAPHY . 32 APPENDIXES . 34 Appendix A. Locations of Interviewed Shona Households in Kenya ............................
    [Show full text]